The human risk of contracting Lyme disease or other tick borne diseases tra
nsmitted by the tick species Ixodes ricinus is broadly linked to the tick n
ymph density. The study was performed in Rambouillet forest (Yvelines, Fran
ce), a known focus of Lyme borreliosis, from January 1997 to December 1999.
We used a nymph sampling methodology which permitted us to obtain a monthl
y nymph density index (from 0 to 5). Studying the seasonal nymph and larval
activity patterns and estimating the larval developmental duration, we dem
onstrate the existence of an annual nymphal stock. Secondly, we elucidate h
ow this stock is distributed throughout the year, month by month. Its distr
ibution is principally dependent on two factors: the monthly mean ambient t
emperature and the proportion of active nymphs which find a host each month
. Expected monthly nymph densities derived from a theoretical model describ
ing the temperature-dependent stock distribution gave a good fit to the obs
erved densities, accounting for between 76-86% of the monthly variation in
observed nymph densities. Predicting the temporal distribution of nymph act
ivity within a stable Lyme borreliosis focus enables more precise identific
ation of risk periods.